1986
DOI: 10.1137/0146017
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Parabolic Bursting in an Excitable System Coupled with a Slow Oscillation

Abstract: We investigate the interaction of an excitable system with a slow oscillation. Under robust and general assumptions compatible with the more stringent assumptions usually made about excitable systems, we show that such a coupled system can display bursting, i.e. a stable solution in which some variable undergoes rapid oscillations followed by a period of quiescence, with both oscillation and quiescence continually repeated. Under a further weak condition, the bursting is "parabolic", i.e. the local frequency o… Show more

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Cited by 555 publications
(523 citation statements)
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References 34 publications
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“…It is formally equivalent to the Theta neuron (Ermentrout and Kopell 1986) and has been often used in computational studies because it has analytical solutions for many input signals. In our study, we use the version used by , given by…”
Section: Quadratic Integrate and Firementioning
confidence: 99%
“…It is formally equivalent to the Theta neuron (Ermentrout and Kopell 1986) and has been often used in computational studies because it has analytical solutions for many input signals. In our study, we use the version used by , given by…”
Section: Quadratic Integrate and Firementioning
confidence: 99%
“…For each neuron, we use a one-dimensional theta model in a manner similar to that described in B枚rgers and Kopell (2003). This canonical model can be attained by a change of variables from a quadratic integrate-and-fire model (B枚rgers et al 2005) or from a Hodgkin-Huxley type I neuron (Ermentrout and Kopell 1986). In this model, the cell is represented by a point traveling along a circle.…”
Section: Simplified Modelmentioning
confidence: 99%
“…Thus, if one understands these simple models, it is possible to apply that knowledge to whole classes of model cells. For example, the action-potential generation of many conductance-based models, which are Class I can be well-fit with the quadratic integrate-and-fire model [9]:…”
Section: Neural Oscillationsmentioning
confidence: 99%